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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Sparse Autoencoders are a type of autoencoder designed to learn efficient representations …
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Discussions and/or suggestions are welcome!
- Interface
- Network architecture visualization
- Recurrent Neural Networks
- Infrastructure
- [ ] CUDA Stream
- [ ] Multi-GPU support
- [x] 4D t…
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[The format of the issue]
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amusi updated
1 month ago
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I get the following error.
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WARNING:xformers:WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:
PyTorch 2.3.1+cu121 with CUDA 1201 (you hav…
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Pose a question about one of the following possibility readings: “[Reducing the Dimensionality of Data with Neural Networks](https://science.sciencemag.org/content/313/5786/504.full)”, Hinton, G. E., …
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## Why
Machine Learning 輪講は最新の技術や論文を追うことで、エンジニアが「技術で解決できること」のレベルをあげていくことを目的にした会です。
prev. https://github.com/wantedly/machine-learning-round-table/issues/170
## What
話したいことがある人はここにコメントしましょう…
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@minhnn1
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We should add support for training sparse autoencoders ([Bricken et al., 2023](https://transformer-circuits.pub/2023/monosemantic-features#setup-autoencoder-motivation), [Cunningham et al., 2023](http…
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Hi fellows,
Thanks for the great work. I successfully applied this tool to a similar product recommendation task.
As for the example given, I am trying to understand how the three-layer neural netw…